{"id":"W6974049728","doi":"10.57907/mirri/jgcnyu","title":"MIRRI0050804","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Identification (biology); Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008932494,0.0009432321,0.0008585456,0.0006366911,0.0003205812,0.0001568032,0.001850047,0.0004693861,0.9990575],"category_scores_gemma":[0.0005969037,0.001009578,0.0005269243,0.0006085202,0.0001086908,0.0001252297,0.001201319,0.00188364,0.9851549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008078277,"about_ca_system_score_gemma":0.0006766989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307998,"about_ca_topic_score_gemma":0.0004757535,"domain_scores_codex":[0.9944803,0.0006569424,0.0009113175,0.001349159,0.001516331,0.00108592],"domain_scores_gemma":[0.9959181,0.000322202,0.000764273,0.002488113,0.0001143986,0.0003929138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008969485,0.0004873586,0.00001976248,0.00008680255,0.0002255851,0.0008063178,0.00002998728,0.00005248558,0.0001482446,0.00001547786,0.9978123,0.0002260191],"study_design_scores_gemma":[0.0009998351,0.0000591847,0.00001692839,0.00005056749,0.0003266573,0.0001213513,0.00009306292,0.000007212755,0.00008988984,0.0001357036,0.9970686,0.001030941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007327859,0.001403941,0.000002440318,0.0004252347,0.002060496,0.0006201242,0.9949026,0.0004725882,0.00003930165],"genre_scores_gemma":[0.000003415783,0.00024407,0.0001928384,0.0007948503,0.001038645,0.0002409122,0.9891168,0.0003074991,0.008060911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01390252,"threshold_uncertainty_score":0.9992355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705095643482941,"score_gpt":0.2678631597809355,"score_spread":0.2508122033461061,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}